Triple

T7546992
Position Surface form Disambiguated ID Type / Status
Subject Ranong province E178430 entity
Predicate capital P234 FINISHED
Object Ranong
Ranong is a coastal town in southern Thailand near the Myanmar border, known for its rainy climate, hot springs, and role as a gateway for trade and travel along the Andaman Sea.
E178430 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ranong | Statement: [Ranong province, capital, Ranong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ranong
Context triple: [Ranong province, capital, Ranong]
  • A. Ranong province
    Ranong province is a coastal province in southern Thailand known for its mountainous rainforest terrain, high rainfall, and location along the Andaman Sea near the Myanmar border.
  • B. Tonsawang
    Tonsawang is an Austronesian language spoken by the Tonsawang people in North Sulawesi, Indonesia.
  • C. Thongduang
    Thongduang was the birth name of King Rama I of Siam, the founder and first monarch of Thailand’s Chakri Dynasty.
  • D. Mae Sot
    Mae Sot is a Thai border town in Tak Province known as a major hub for cross-border trade and migration with Myanmar and for its numerous refugee and humanitarian aid organizations.
  • E. Laem Chabang
    Laem Chabang is Thailand’s largest deep-sea commercial port and a major hub for maritime trade in Southeast Asia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ranong
Triple: [Ranong province, capital, Ranong]
Generated description
Ranong is a coastal town in southern Thailand near the Myanmar border, known for its rainy climate, hot springs, and role as a gateway for trade and travel along the Andaman Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ranong
Target entity description: Ranong is a coastal town in southern Thailand near the Myanmar border, known for its rainy climate, hot springs, and role as a gateway for trade and travel along the Andaman Sea.
  • A. Ranong province chosen
    Ranong province is a coastal province in southern Thailand known for its mountainous rainforest terrain, high rainfall, and location along the Andaman Sea near the Myanmar border.
  • B. Tonsawang
    Tonsawang is an Austronesian language spoken by the Tonsawang people in North Sulawesi, Indonesia.
  • C. Thongduang
    Thongduang was the birth name of King Rama I of Siam, the founder and first monarch of Thailand’s Chakri Dynasty.
  • D. Mae Sot
    Mae Sot is a Thai border town in Tak Province known as a major hub for cross-border trade and migration with Myanmar and for its numerous refugee and humanitarian aid organizations.
  • E. Laem Chabang
    Laem Chabang is Thailand’s largest deep-sea commercial port and a major hub for maritime trade in Southeast Asia.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89a7b2c8190b2ca57edbb4f0390 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86151a5a48190a6a53baa54f19293 completed March 28, 2026, 11:16 p.m.
NEDg Description generation batch_69c861d1255881909091426b62bfdd1e completed March 28, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69c8627e9a6c8190baf4e8bb113845f1 completed March 28, 2026, 11:21 p.m.
Created at: March 27, 2026, 3:49 p.m.